BibTeX:

@article{IJIRSTV2I12096,
     title={A Reliable and Efficient Technique for Balanced Energy Consumption in Wireless Sensor Networks},
     author={NANDISHA V R and Mrs RESHMA M},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={12},
     pages={244--250},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I12096.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

A wireless sensor network (WSN) comprises of thousands of sensor nodes dispersed over a topographical zone. An essential issue of WSNs is to decrease their energy utilization keeping in mind the end goal to improve their life time. Low energy is more essential contrasted with low power for such networks as it will expand lifetime of the network. Thus, minimizing energy utilization turns into the most basic issue in the outline of all WSN protocol. For end-to-end information transmission, media access control (MAC) and routing protocol involved as a vital part in WSNs. In addition, this protocol for the most part uses the hierarchical structure for end-to-end reliable information conveyance. The time and energy required to create a hierarchical structure in a successive way is constantly high. Thus, with a specific end goal to reach the above challenges in such networks, the majority of the energy is devoured when the radios are on, sitting tight for an arrival to happen. Sleep-wake scheduling algorithm is a best method to increase the lifetime of these energy obliged wireless sensor systems. In the proposed methodology I will use suitable algorithm that is parameter based reliable routing(PBRR) for efficient route selection and blowfish algorithm to secure the data furthermore diminishing energy utilization By utilizing above strategies, proposed results ensures in the decreasing of Energy Consumption, Higher the network lifetime, reducing the average delay, and High packet delivery ratio.

Energy consumption, PBRR, average delay, network lifetime, routing protocol